Job Description

About this role:



We are seeking a highly skilled Lead Data Science Consultant to join our growing Advanced Analytics team within People Analytics and our HR Transformation & Products organization at Wells Fargo!




This is an exciting opportunity to play an impactful role in building and maturing data powered thinking and analytical capabilities across the HR business to inform strategies, optimize decisions, and maximize investments in our #1 asset (people). Our commitment to excellence and continuous improvement drives our success. We believe in leveraging science and analytics to bring data driven insight and structure to complex people problems and tactics that position our talent as a key source of competitive advantage.




Our team is tasked with converting massive data into real-time insight and actionable intelligence by harnessing the power of cutting-edge research, analytics, teamwork, and technology. Your expertise in data science and advanced analytics will be core to shaping people-centric strategies and game-changing initiatives that push boundaries of what is possible and unlock potential across the employee life cycle.




Join our team and contribute to shaping the future of our world-class HR organization at Wells Fargo.



Learn more about the career areas and business divisions at wellsfargojobs.com .



In this role, you will: • Lead design, development, and implementation of complex analytical processes and data driven algos/models to extract patterns and relationships from large/diverse data sets and convert into meaningful insights and evidence based strategies for HR business problems and challenges
• Utilize expertise in advanced analytical techniques such as AI, Machine Learning (ML) and Natural Language Processing (NLP) to process data at scale and synthesize into actionable intelligence, including unstructured data sources (e.g. employee surveys, performance reviews, skills inventory)
• Leverage modern data science tools and methodologies to perform quantitative and qualitative research and investigate opportunities across employee life cycle (e.g. talent sourcing, workforce planning, learning/development, employee experience, listening/engagement, retention/attrition)
• Develop predictive models to forecast complex HR related issues, such as turnover and staffing
• Generate hypotheses regarding trends and drivers of employee behavior/performance, execute statistical tests to support/disprove, ensuring reliability, explainability, and ethics/responsibility
• Present findings with effective storytelling, visualizations, and clear communication to interpret findings and convey technical concepts to non-technical stakeholders and senior leadership
• Build and maintain scalable data pipelines and architectures, including ingestion, preprocessing, feature engineering, model development/deployment, performance monitoring/tuning, etc.
• Ensure data integrity and quality standards, adhering to internal and external policies, procedures, and best practices for HR data management, risk/governance, and legal/regulatory compliance
• Collaborate with HR stakeholders across functional teams to understand talent strategies, opportunities, and pain points to align analytical products/services with business outcomes
• Drive data literacy and advocate for data-driven decision-making within the organization
• Stay current with advancements in data science, machine learning, and people analytics
• Lead analytical projects with clear communication of objectives, tasks, and timelines
• Lead complex initiatives by utilizing data-driven, advanced analytical, statistical techniques, algorithms, or models to make actionable insights, trends, recommendations, including those that are cross-functional with broad impact acting as key participant in large-scale planning
• Review and analyze complex, multi-faceted, larger-scale, or longer-term business, operational, or technical challenges that require in-depth hypothesis generation and advanced analysis of multiple parts, including intangibles or unprecedented factors
• Make decisions in complex and multi-faceted situations requiring an expertise in analytical thinking to resolve abstract business issues that influence and lead broader work team to meet deliverables and drive new initiatives
• Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to drive recommendations and strategies based on data driven, analytical insights, trends, and patterns that will resolve issues and achieve goals; may lead projects, teams or serve as a peer mentor
• Execute complex analytical experiments and create innovative statistical models to discover solutions for abstract business problems across various domains
• Interpret and analyze data, using advanced analytics modeling methods and programming, to recommend ways to solve problems and influence business decisions and strategies
• Provide consultation to peers on data science best practices, methods, and tools to leverage
• Communicate actionable insights and recommendations using data in a digestible format to a non-technical audience of varying levels

Desired Requirements • 5+ years of data science experience, with expertise in advanced analytics (AI/ML) and statistical techniques/modeling, including quantitative and qualitative methods
• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
• Relevant years of experience in HR domain, people analytics/workforce insights, highly preferred
• Strong knowledge of AI/ML techniques, libraries/packages (e.g. TensorFlow, PyTorch)
• Proficiency in SQL, Python, R, and other programming tools/apps for data mining/modeling
• Experience with NLP techniques and framework (e.g. NLTK, spaCy, BERT), highly preferred
• Excellent analytical and problem-solving skills, with ability to think critically and strategically
• Well-versed in data visualization tools such as Tableau/Power BI, PowerPoint
• Excellent verbal, written, and interpersonal communication/presentation skills
• Ability to execute in fast paced, highly controlled environment w/ multiple priorities
• Experience with big data tools/platforms/frameworks (Hadoop/Spark/Scala)
• Experience working with HR systems and data sources (e.g. Workday, Medallia, ServiceNow)
• Experience across full stack data science pipeline/ecosystem, including data ingestion, wrangling/preprocessing, feature engineering, model selection/development/deployment, etc.

Posting End Date:


17 Aug 2024

•Job posting may come down early due to volume of applicants.




We Value Diversity



At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.



Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.



Candidates applying to job openings posted in US: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.



Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.



Applicants with Disabilities



To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .



Drug and Alcohol Policy



Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.



Wells Fargo Recruitment and Hiring Requirements:



a. Third-Party recordings are prohibited unless authorized by Wells Fargo.



b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.